Research on cognition in design for sustainability

We aim to uncover the cognitive and neurocognitive characteristics of designing for sustainability and to effectively support current and future generations of industrial practitioners in their endeavour to design more sustainable products, services and systems.

We conduct innovative research in the field of design for sustainability (DfS), utilizing advanced techniques from cognitive science and neuroscience. By employing methods such as protocol analysis and electroencephalography (EEG) imaging, we aim to deepen the understanding of how designers think while creating environmentally sustainable solutions and how their performance can be improved through various methods, tools, and educational approaches.

Our research focuses on developing a comprehensive understanding of the design process by integrating multiple research methods. This knowledge is essential for creating effective support and educational strategies for design for sustainability, as the design activity is largely influenced by neurocognitive, cognitive, and behavioral processes. Our interdisciplinary team brings expertise in design, cognition, and neurocognition.

Specifically, our research provides insights into

  • The cognitive and neurocognitive characteristics involved in different design for sustainability activities, such as product design and product-service system design.
  • The cognitive challenges designers face when tackling various sustainability tasks, including issues like uncertainty, limited reasoning abilities, design fixation, cognitive errors, and cognitive overload.
  • Strategies and tools to address these cognitive challenges and enhance designers’ capabilities in sustainability efforts.
  • The impact of our developed support on the cognitive and neurocognitive processes of designers.

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Selection of scientific publications

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Tomohiko Sakao, Svante Paulsson, Hajime Mizuyama (2011)

Proceedings Volume DS68-3IMPACTING SOCIETY THROUGH ENGINEERING DESIGN: VOLUME 3: DESIGN ORGANISATION AND MANAGEMENT , s.365-376

Cover of publication ''
Tomohiko Sakao, John Gero, Hajime Mizuyama (2020)

Artificial intelligence for engineering design, analysis and manufacturing , Vol.34 , s.515-530 Continue to DOI

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Abhijna Neramballi, Tomohiko Sakao, John S. Gero (2021)

Design Computing and Cognition '20 , s.469-488 Continue to DOI

Cover of publication ''
Abhijna Neramballi, Tomohiko Sakao, John S Gero (2019)

DCC 2018: Design Computing and Cognition '18 , s.361-380 Continue to DOI

Researcher